Machine Learning for Fluid Mechanics [PDF]
Annual Review of Fluid Mechanics, 2020 The field of fluid mechanics is rapidly advancing, driven by unprecedented volumes of data from field measurements, experiments and large-scale simulations at multiple spatiotemporal scales.
Brunton, Steven +2 more
core +2 more sources
Cerebrospinal Fluid Biomarkers of Alzheimer’s Disease: Current Evidence and Future Perspectives
Brain Sciences, 2021 Alzheimer’s disease is a progressive, clinically heterogeneous, and particularly complex neurodegenerative disease characterized by a decline in cognition. Over the last two decades, there has been significant growth in the investigation of cerebrospinal
Donovan A. McGrowder +11 more
doaj +2 more sources
Equilibrium Current and Orbital Magnetization in a Quantum Hall Fluid [PDF]
, 1995 We present a general theory for the equilibrium current distribution in an interacting two-dimensional electron gas subjected to a perpendicular magnetic field, and confined by a potential that varies slowly on the scale of the magnetic length.
Avishai +15 more
core +2 more sources
A linear auroral current-voltage relation in fluid theory [PDF]
Annales Geophysicae, 2004 Progress in our understanding of auroral currents and auroral electron acceleration has for decades been hampered by an apparent incompatibility between kinetic and fluid models of the physics involved.
J. Vedin, K. Rönnmark
doaj +3 more sources
Gravity current down a steeply inclined slope in a rotating fluid [PDF]
Annales Geophysicae, 1997 The sinking of dense water down a steep continental slope is studied using laboratory experiments, theoretical analysis and numerical simulation.
G. I. Shapiro, A. G. Zatsepin
doaj +3 more sources
Biomarkers for Alzheimer's disease: current status and prospects for the future
Journal of Internal Medicine, 2018 Accumulating data from the clinical research support that the core Alzheimer's disease (AD) cerebrospinal fluid (CSF) biomarkers amyloid‐β (Aβ42), total tau (T‐tau), and phosphorylated tau (P‐tau) reflect key elements of AD pathophysiology.
Kaj Blennow
exaly +2 more sources
Retrieving the global distribution of the threshold of wind erosion from satellite data and implementing it into the Geophysical Fluid Dynamics Laboratory land–atmosphere model (GFDL AM4.0/LM4.0) [PDF]
Atmospheric Chemistry and Physics, 2020 Dust emission is initiated when surface wind velocities exceed the threshold of wind erosion. Many dust models used constant threshold values globally.
B. Pu +17 more
doaj +1 more source
European Current Research on Fluid Inclusions — ECROFI XXI Leoben (Austria) [PDF]
Open Geosciences, 2012 Bakker Ronald, Baumgartner Miriam
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Current and emerging deep-learning methods for the simulation of fluid dynamics
Proceedings of the Royal Society A, 2023 Over the last decade, deep learning (DL), a branch of machine learning, has experienced rapid progress. Powerful tools for tasks that have been traditionally complex to automate have been developed, such as image synthesis and natural language processing.
Mario Lino +3 more
semanticscholar +1 more source
Effect of the Coastline Geometry on the Boundary Currents Intruding through the Gap
Fluids, 2022 The problem of a geophysical western boundary current negotiating a gap in its supporting boundary is considered. For traditional straight, parallel gaps, such systems are known to exhibit two dominant states, gap penetrating and leaping, with the ...
Joseph Kuehl, Vitalii A. Sheremet
doaj +1 more source